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International Journal of Advances in Applied Sciences
Published by Institute of Advanced Engineering and Science
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics
International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.
Arjuna Subject : -
Articles 680 Documents
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A new transmissometer method that measures runway visibility across a short distance Mariam Mohamed Abud
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp285-292

Abstract

The present technique developed a transmissometer idea for intensity measurements in the ecosystem across an 80 cm distance. The method relies on the transmission of an optical or infrared (diode laser 785 nm) signal obtained on spectrum analyses (ocean optics HG4000) received signal from the laser under unique conditions (light dust, heavy dust, and waterdrops) at a short distance. Thus, this approach is useful to measure the intensities of the laser beam and locate the visibility measurements of laser transmissometers in the rain and special care to the dust. The results showed that heavy dust enhanced the visibility measurements for distinct intensity distributions between showers and dust. Since light and heavy dust within a single transmittance can easily cover the entire runway visual range (RVR) range for a brief period, visibility measurements were crucial. The full-scale value corresponds to infinite visibility for heavy dust (0.8611) and minimum visibility for drop rain conditions (0.01073).
Antioxidant activity and inhibition of α-glucosidase from extract and fraction of leaves and stems of Vernonia amygdalina Siahaan Rafael; I Made Artika; Waras Nurcholis
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp274-284

Abstract

Previous studies have shown that bitter leaf (Vernonia amygdalina Del.) has the ability as an antioxidant and an α-glucosidase inhibitor. Still, the difference in antioxidant activity and α-glucosidase inhibition based on the leaves and stems parts have not yet been determined. The effect of flavonoid-enriched extract on antioxidant activity and inhibition of α-glucosidase has not yet been determined. This research aimed to assess the impact of flavonoid-enriched extract from the leaves and stems part of the bitter leaf. The leaves and stems part of the bitter leaf were extracted using Soxhlet apparatus with 80% methanol and then underwent successive fractionation with petroleum ether, chloroform, and ethyl acetate. The crude extract and the fraction were concentrated and followed by the determination of total flavonoid, total phenolic, antioxidant activity, α-glucosidase inhibition activity, and calculated the IC50 of α-glucosidase inhibition. This research showed that chloroform-ethyl acetate leaf fraction was the best fraction with the higher total flavonoid (24.091±0.972 mg QE/g DW), total phenolic (84.299±4.589 mg GAE/g DW), diphenylpicrylhydrazyl (DPPH) antioxidant activity (33.881 μM TE/g DW), ferric reducing antioxidant power (FRAP) antioxidant activity (312.022±1.745 μM TE/g DW) and α-glucosidase inhibition activity with an IC50 value 1.23 mg/mL.
The effect of adding sodium tripolyphosphate on thiobarbituric acid value, crispiness, and organoleptic on salted egg crackers Siti Susanti; Rafli Zulfa Kamil; Finky Firsya Fardiah
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp226-233

Abstract

Crackers are one of the dry foods that can experience volume expansion when fried. Salted egg crackers are a form of innovation and product diversification in crackers, which are made using ingredients containing starch and various other additives. This study aims to determine the exact concentration in the use of sodium tripolyphosphate as a crunch in dough on the crispness, thiobarbituric acid (TBA) value, and organoleptic of the salted egg crackers. There were 4 sodium tripolyphosphate (STPP) concentration treatments, namely 0% (T1), 0.25% (T2), 0.5% (T3), and 0.75% (T4). This research method consists of experimental design, research procedures, parameter tests, and data analysis. The results of the analysis of the TBA value showed that the difference in the concentration of STPP affected the rancidity of the salted egg crackers, where the higher the concentration of STPP, the higher the TBA value. Crispness and organoleptic analysis showed the highest value and overall preference, namely 0.75% (T3) treatment. This study concludes that the difference in the concentration of the addition of sodium tripolyphosphate affects the crispness of crackers.
Mechanical and thermal properties of recycled polypropylene bamboo fibre-reinforced composites Indah Widiastuti; Devan Hidayat Pratama; Mohamad Lukmanul Hakim; Danar Susilo Wijayanto; Budi Harjanto
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp205-213

Abstract

In this article, a kind of green composite was prepared from recycled polypropylene (r-PP) which was further reinforced with various loadings of chemically modified bamboo fibres. Effects of bamboo fibre loading on the mechanical and thermal properties of r-PP/bamboo composites were studied. Those properties were characterized by tensile testing, impact testing, thermogravimetric analysis (TGA), and differential scanning calorimeter (DSC). Standardized test specimens with 0%, 10%, 20%, and 30% mass fractions of bamboo fibre were obtained by an extrusion process which was then finalized on injection molding. The experiment revealed the tensile strength and strain of the composite become greater with the increase of bamboo fraction in the ultimate value of 20% mass fraction. The composite with 10% bamboo fibre loading recorded the highest value of impact strength. Meanwhile, it was evident that the presence of bamboo fibre decreased the thermal stability of recycled polypropylene materials. Therefore, this composite material may find good potential for semi-structural loading applications in relatively low-exposure working.
Low-carbon no-idle permutation flow shop schedulling problem: giant trevally optimizer vs African vultures optimization algorithm Dana Marsetiya Utama; Cantika Febrita
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp195-204

Abstract

Greenhouse gas emissions continue to increase due to increased energy consumption. One of the largest emission-contributing sectors is the manufacturing industry. Therefore, the manufacturing industry is required to minimize carbon emissions. One of the efforts to solve the emission problem is to minimize machine downtime throughout the production procedure, which stands for no-idle permutation flowshop scheduling (NIPFSP). This article uses two metaheuristic algorithms, giant trevally optimizer (GTO) and African vultures optimization algorithm (AVOA), to solve the carbon emission problem. Both algorithms are tested on 3 cases with 30 runs for every population and iteration. To compare the outcomes of each algorithm, an independent sample t-test was employed. The results show that the GTO algorithm has better results than the AVOA algorithm on small and large case data. The findings indicate that both the GTO and AVOA algorithms yield comparable results when applied to medium-sized research datasets, suggesting their effectiveness in such scenarios.
Groundwater recharge estimation using chloride mass balance method on the southern slope of Merapi Volcano, Indonesia Restu Dwi Cahyo Adi; Wahyu Wilopo; Hendy Setiawan
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp265-273

Abstract

Groundwater is a main resource for the majority of Indonesian people as a source of clean water to meet their daily needs. The increase in groundwater use is unavoidable due to increasing development in Indonesia, especially in Yogyakarta. Groundwater recharge is important in the hydrological cycle to meet groundwater needs. Therefore, this study aims to estimate groundwater recharge by the chloride mass balance (CMB) method on the southern slope of Merapi Volcano in Yogyakarta, Indonesia. This research was conducted in the rainy and dry seasons from August 2022 until January 2023. This research collects annual rainfall near the study area from the Meteorology, Climatology, and Geophysics Agency (BMKG) Yogyakarta station, monthly data collected from eighteen samples of groundwater station, and monthly data collected from fifteen samples of rainwater in the study area. The chemical content of groundwater and rainwater samples is analyzed using argentometry to obtain chloride concentration. The result of annual rainfall in the study area is 3,603.878 mm/year. The average chloride concentration in rainwater is 1.1 mg/L, while the average chloride concentration in groundwater is 8.015 mg/L. The CMB method calculation showed that the recharge in the study area ranges from 171.65 to 1,711.29 mm/year. The groundwater recharge has a positive correlation with elevation and rainfall. High groundwater recharge is also found in the northern area due to fractured lava aquifer.
A receiver-side power control method for series-series magnetic topology in inductive contactless electric vehicles battery charger application Bhukya Bhavsingh; Gotluru Suresh Babu; Bhukya Mangu; Ravikumar Bhukya
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp234-249

Abstract

Wireless power transfer (WPT) can be used to charge the battery conveniently and efficiently. In this paper, the investigation of high-efficiency S/S resonant magnetic topology in inductive wireless battery charging of electric vehicles (EVs) is analyzed, designed, and controlled. To regulate the output power efficiently rather than controlling the supply voltage, novel bidirectional switches are introduced to control the output power by using the duty cycle control method. The output power of the secondary side is derived and discussed based on the fundamental harmonic approximation (FHA) approach. A 1.5 kW, 120 mm distance, and 85 kHz resonance frequency are verified in MATLAB/Simulink.
Detecting facial image forgeries with transfer learning techniques Zanje, Nishigandha N.; Bongale, Anupkumar M; Dharrao, Deepak
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp93-105

Abstract

Digital images have become ubiquitous in our daily lives, appearing on our smartphone screens and online websites. They are widely used in numerous industries, including media, forensic and criminal investigations, medicine, and more. The ease of access to consumer photo editing tools has made it simple to manipulate images. However, such altered images pose a serious risk in fields where image authenticity is crucial, making it challenging to confirm the reliability of digital images. Digital image fraud involves altering an image's meaning without leaving any obvious signs. In this study, we present three convolutional neural network-based transfer learning techniques “CNN” classification of facial image forgeries, using VGG-19, InceptionV3, and DenseNet201. Among these methods, DenseNet201 achieved the highest accuracy of 99%, followed by InceptionV3 at 94% and VGG-19 at 84%.
Enhanced human activity recognition through deep multi-layer perceptron on the UCI-HAR dataset Hossain, Md. Anwar; Ray, Sajeeb Kumar; Islam, Naima; Alamin, Alamin; Hasan, Mirza AFM Rashidul
International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i2.pp429-438

Abstract

Using the UCI-HAR dataset, this paper examines human activity recognition (HAR) from the perspectives of data science and artificial intelligence. The primary objective is to present and evaluate the effectiveness of a multi-layer perceptron (MLP) model, concentrating on six different activity categories. We train and assess the MLP model using the UCI-HAR dataset, contrasting its results with those of convolutional neural networks (CNN). The MLP model shows competitive results, attaining an amazing 97% validation and testing accuracy, highlighting its efficiency for smaller datasets. An extensive study is carried out to assess the model's adaptation to a larger Motion Sense dataset using confusion matrices and cross-entropy, the model shows robustness with an accuracy of 89%. The MLP model performs admirably, demonstrating its capacity to pick up complex patterns. Results from comparative analysis with CNN are competitive, especially when dealing with smaller datasets. The suggested MLP model shows up as a practical and efficient way to advance HAR techniques. Its remarkable performance and versatility not only show its usefulness in real-world scenarios but also point to interesting directions for further study in the area of HAR.
Mitigation of PQ issues in EV charging station connected distribution system using novel RSMLI-based shunt APF Mogilicharla, Veera Narasimha Murthy; Rao, Lingineni Shanmukha; Moparthi, Ranjit Kumar; Chowdary, Tarigopula Jyothika
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp413-424

Abstract

In the present scenario, the significant use of electric vehicles (EVs) is growing rapidly in the automotive industry due to cheaper transportation, no fossil fuel required, low maintenance, no fuel cost, and low impacts on the environment over the formal internal combustion engine (ICE) vehicles. In actuality, these EVs are powered by batteries that are charged by a utility-grid-based charging facility. A power-electronic conversion-based charging device is used in this charging station to charge the battery packs in the EV system. The problem statement of this work is identified, these conversion devices in charging units proliferate the power quality of the utility grid. To overcome these problems, a classical square-wave inverter-based active power filter (APF) is employed. The major problems in classical inverters are high common-mode voltage, more harmonic profile, high dV/dt stress, high switching stress, and low efficiency. The contribution of this work is proposing the multilevel inverter (MLI) based APF for better compensation over classical inverters. In this approach, a novel reduced-switch MLI-based APF has been proposed for the mitigation of harmonic currents and also enhances the power factor in utility-grid-connected distribution systems. The effectiveness of the proposed reduced-switch multilevel inverter (RSMLI)-APF is validated by integrating the number of charging units with the MATLAB/Simulink tool, and simulation outcomes are shown along with comparisons.

Page 42 of 68 | Total Record : 680

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